{"product_id":"implementing-fuzzy-c-means-clustering-with-eko-heryanto-9798258700131","title":"Implementing Fuzzy C-Means Clustering with Java and Oracle","description":"Benchmarking, the process of establishing clear boundaries between points on the Jakarta Stock Exchange Composite Stock Price Index (JCI BEJ), is crucial for determining and identifying which index points fall into the high, low, or average groups. This is necessary as a standard for determining which index points fall into which group. Without benchmarking, problems arise due to varying human perceptions, which naturally differ in assessing index points (based on individual estimates), whether a particular index point falls into the high, low, or average category. There are no clear boundaries between index points.\u003cbr\u003eFuzzy C-Means, a method for clustering a data set into several groups by dividing the data evenly, is one method for benchmarking the JCI BEJ.\u003cbr\u003eFuzzy C-Means, which is based on fuzzy logic, groups data based on the distance between the centroid and the data. Each data point has a degree of membership within each cluster. The data with the highest degree of membership will become a member of the cluster for which that degree of membership is targeted.\u003cbr\u003eThis book implements Fuzzy C-Means Clustering, which benchmarks the 2005 Jakarta Composite Index (JCI), making it easier for users to perform historical technical data analysis.\u003cbr\u003eFrom the results of trials on several types of Jakarta Composite Index (JCI), it was concluded that benchmarking can be performed on various types of Jakarta Composite Index (JCI), and that useful information can be obtained if the JCI pattern is analyzed more deeply and linked to time variables.We will use java and oracle to design this program.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Eko Heryanto\u003cbr\u003e\u003cb\u003eISBN-13:\u003c\/b\u003e 9798258700131\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Independently Published\u003cbr\u003e\u003cb\u003eLanguage:\u003c\/b\u003e English\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 04\/24\/2026\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 234\u003cbr\u003e\u003cb\u003eFormat:\u003c\/b\u003e Paperback\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 0.70lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 9.00h x 6.00w x 0.49d","brand":"Eko Heryanto","offers":[{"title":"Paperback","offer_id":50665523085567,"sku":"9798258700131","price":27.0,"currency_code":"USD","in_stock":true}],"url":"https:\/\/www.whiterainbookhouse.com\/products\/implementing-fuzzy-c-means-clustering-with-eko-heryanto-9798258700131","provider":"WR Book House","version":"1.0","type":"link"}